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  NoVA: Learning to See in Novel Viewpoints and Domains

Coors, B., Condurache, A. P., & Geiger, A. (2019). NoVA: Learning to See in Novel Viewpoints and Domains. In 2019 International Conference on 3D Vision (3DV 2019) (pp. 116-125). Piscataway, NJ: IEEE. doi:10.1109/3DV.2019.00022.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F5A9-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-F5AA-6
Genre: Conference Paper

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 Creators:
Coors, Benjamin1, Author           
Condurache, Alexandru Paul2, Author
Geiger, Andreas1, Author           
Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Geiger
 Abstract: -

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Language(s): eng - English
 Dates: 2019-10-312019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Coors2019THREEDV
DOI: 10.1109/3DV.2019.00022
 Degree: -

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Title: International Conference on 3D Vision (3DV 2019)
Place of Event: Quebec Citiy
Start-/End Date: 2019-09-16 - 2019-09-19

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Title: 2019 International Conference on 3D Vision (3DV 2019)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 116 - 125 Identifier: ISBN: 978-1-7281-3131-3
ISBN: 978-1-7281-3132-0
ISSN: 2475-7888
ISSN: 2378-3826
DOI: 10.1109/3DV48533.2019